| Best model | name | model_type | metric_type | metric_value | train_time |
|---|---|---|---|---|---|
| 1_DecisionTree | Decision Tree | rmse | 0.213154 | 0.91 | |
| 2_DecisionTree | Decision Tree | rmse | 0.206743 | 0.9 | |
| 3_DecisionTree | Decision Tree | rmse | 0.206902 | 0.88 | |
| 4_Linear | Linear | rmse | 0.194117 | 0.99 | |
| 5_Default_LightGBM | LightGBM | rmse | 0.199116 | 1.17 | |
| 6_Default_Xgboost | Xgboost | rmse | 0.201006 | 1.44 | |
| 7_Default_CatBoost | CatBoost | rmse | 0.200783 | 1.9 | |
| 8_Default_NeuralNetwork | Neural Network | rmse | 0.205753 | 1.15 | |
| 9_Default_RandomForest | Random Forest | rmse | 0.209363 | 2.28 | |
| 19_LightGBM | LightGBM | rmse | 0.355576 | 2.89 | |
| 10_Xgboost | Xgboost | rmse | 0.204284 | 1.32 | |
| 28_CatBoost | CatBoost | rmse | 0.200345 | 2.03 | |
| 37_RandomForest | Random Forest | rmse | 0.248499 | 2.27 | |
| 46_ExtraTrees | Extra Trees | rmse | 0.28408 | 2.64 | |
| 55_NeuralNetwork | Neural Network | rmse | 0.220389 | 1.23 | |
| 64_NearestNeighbors | Nearest Neighbors | rmse | 0.219168 | 1.17 | |
| 20_LightGBM | LightGBM | rmse | 0.207061 | 1.25 | |
| 4_Linear_GoldenFeatures | Linear | rmse | 0.199265 | 4.75 | |
| 65_LightGBM | LightGBM | rmse | 0.199116 | 1.28 | |
| 66_LightGBM | LightGBM | rmse | 0.199116 | 1.29 | |
| 67_CatBoost | CatBoost | rmse | 0.197219 | 1.85 | |
| 68_CatBoost | CatBoost | rmse | 0.205597 | 2.52 | |
| 69_CatBoost | CatBoost | rmse | 0.199126 | 2.42 | |
| 70_CatBoost | CatBoost | rmse | 0.201097 | 1.82 | |
| 4_Linear_BoostOnErrors | Linear | rmse | 0.194595 | 1.26 | |
| Ensemble | Ensemble | rmse | 0.176571 | 1.03 | |
| 67_CatBoost_Stacked | CatBoost | rmse | 0.179577 | 3.47 | |
| 5_Default_LightGBM_Stacked | LightGBM | rmse | 0.194733 | 1.48 | |
| the best | Ensemble_Stacked | Ensemble | rmse | 0.172089 | 1.23 |
rmse
1.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.158139 |
| MSE | 0.0417318 |
| RMSE | 0.204284 |
| R2 | 0.927691 |
| MAPE | 0.262921 |
rmse
2.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.294692 |
| MSE | 0.126435 |
| RMSE | 0.355576 |
| R2 | 0.780926 |
| MAPE | 0.571692 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.161074 |
| MSE | 0.0454348 |
| RMSE | 0.213154 |
| R2 | 0.921275 |
| MAPE | 0.228014 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.162268 |
| MSE | 0.0428742 |
| RMSE | 0.207061 |
| R2 | 0.925712 |
| MAPE | 0.258727 |
rmse
1.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.153871 |
| MSE | 0.0401381 |
| RMSE | 0.200345 |
| R2 | 0.930453 |
| MAPE | 0.241444 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.153977 |
| MSE | 0.0427428 |
| RMSE | 0.206743 |
| R2 | 0.925939 |
| MAPE | 0.218188 |
rmse
1.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.183489 |
| MSE | 0.0617517 |
| RMSE | 0.248499 |
| R2 | 0.893003 |
| MAPE | 0.261008 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.154561 |
| MSE | 0.0428084 |
| RMSE | 0.206902 |
| R2 | 0.925826 |
| MAPE | 0.221105 |
rmse
2.3 seconds
| Metric | Score |
|---|---|
| MAE | 0.230455 |
| MSE | 0.0807016 |
| RMSE | 0.28408 |
| R2 | 0.860168 |
| MAPE | 0.451161 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.146794 |
| MSE | 0.0376814 |
| RMSE | 0.194117 |
| R2 | 0.934709 |
| MAPE | 0.230145 |
rmse
1.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.147159 |
| MSE | 0.0378672 |
| RMSE | 0.194595 |
| R2 | 0.934387 |
| MAPE | 0.231795 |
rmse
4.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.146454 |
| MSE | 0.0397064 |
| RMSE | 0.199265 |
| R2 | 0.931201 |
| MAPE | 0.197982 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.160552 |
| MSE | 0.0485715 |
| RMSE | 0.220389 |
| R2 | 0.91584 |
| MAPE | 0.216973 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.154503 |
| MSE | 0.0396472 |
| RMSE | 0.199116 |
| R2 | 0.931303 |
| MAPE | 0.249298 |
rmse
1.1 seconds
| Metric | Score |
|---|---|
| MAE | 0.146629 |
| MSE | 0.0379207 |
| RMSE | 0.194733 |
| R2 | 0.934295 |
| MAPE | 0.240673 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.1676 |
| MSE | 0.0480347 |
| RMSE | 0.219168 |
| R2 | 0.91677 |
| MAPE | 0.23487 |
rmse
1.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.154503 |
| MSE | 0.0396472 |
| RMSE | 0.199116 |
| R2 | 0.931303 |
| MAPE | 0.249298 |
rmse
1.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.154503 |
| MSE | 0.0396472 |
| RMSE | 0.199116 |
| R2 | 0.931303 |
| MAPE | 0.249298 |
rmse
1.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.153074 |
| MSE | 0.0388952 |
| RMSE | 0.197219 |
| R2 | 0.932606 |
| MAPE | 0.24333 |
rmse
3.1 seconds
| Metric | Score |
|---|---|
| MAE | 0.13204 |
| MSE | 0.032248 |
| RMSE | 0.179577 |
| R2 | 0.944124 |
| MAPE | 0.210312 |
rmse
2.2 seconds
| Metric | Score |
|---|---|
| MAE | 0.159012 |
| MSE | 0.0422701 |
| RMSE | 0.205597 |
| R2 | 0.926758 |
| MAPE | 0.255831 |
rmse
2.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.155023 |
| MSE | 0.0396513 |
| RMSE | 0.199126 |
| R2 | 0.931296 |
| MAPE | 0.250134 |
rmse
1.1 seconds
| Metric | Score |
|---|---|
| MAE | 0.155948 |
| MSE | 0.0404036 |
| RMSE | 0.201006 |
| R2 | 0.929993 |
| MAPE | 0.265594 |
rmse
1.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.158203 |
| MSE | 0.0404399 |
| RMSE | 0.201097 |
| R2 | 0.92993 |
| MAPE | 0.255811 |
rmse
1.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.158985 |
| MSE | 0.0403138 |
| RMSE | 0.200783 |
| R2 | 0.930148 |
| MAPE | 0.266577 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.151683 |
| MSE | 0.0423343 |
| RMSE | 0.205753 |
| R2 | 0.926647 |
| MAPE | 0.226149 |
rmse
1.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.163396 |
| MSE | 0.043833 |
| RMSE | 0.209363 |
| R2 | 0.92405 |
| MAPE | 0.251782 |
| Model | Weight |
|---|---|
| 28_CatBoost | 4 |
| 37_RandomForest | 1 |
| 3_DecisionTree | 1 |
| 4_Linear | 10 |
| 64_NearestNeighbors | 1 |
| 67_CatBoost | 1 |
| 6_Default_Xgboost | 3 |
| 9_Default_RandomForest | 1 |
| Metric | Score |
|---|---|
| MAE | 0.135455 |
| MSE | 0.0311772 |
| RMSE | 0.176571 |
| R2 | 0.945979 |
| MAPE | 0.205366 |
| Model | Weight |
|---|---|
| 37_RandomForest | 1 |
| 4_Linear | 8 |
| 64_NearestNeighbors | 2 |
| 67_CatBoost_Stacked | 14 |
| Ensemble | 3 |
| Metric | Score |
|---|---|
| MAE | 0.128526 |
| MSE | 0.0296145 |
| RMSE | 0.172089 |
| R2 | 0.948687 |
| MAPE | 0.196127 |